Ethnic and Socioeconomic Variations in Psychiatric Hospitalization and 30-day Readmission in Canada
Bibliographic record
Abstract
Ethnicity and socioeconomic status have been implicated as determinants of inpatient mental health service use internationally, but there is little Canadian evidence. This thesis uses data from the 2006 Canadian Census linked to the 2006/07 through 2008/09 Discharge Abstract Database (excluding Ontario and Quebec) to investigate the relative prevalence of psychiatric hospitalization and the relative risk of 30-day readmission following a psychiatric hospitalization for adults (aged 25 to 64) across ethnic groups and socioeconomic status, measured by income, education, and employment. Results suggest that the prevalence of psychiatric hospitalization was lower in ethnic minority groups relative to White Canadians, and for those in higher socioeconomic positions relative to those in lower positions. There were fewer statistically significant differences in the risk of 30-day readmission. Future research should explore these trends with data on mental illness severity or access to other mental health care to improve understanding of reasons for hospitalization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".